update meta files

CHANGELOG.md

@@ -7,6 +7,19 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [2.0.0] - 2023-03-14
+
+### Added
+- Introduce the seq2seq module for more accurate reading prediction and canonicalization.
+- Introduce learning-based sentence splitter.
+
+### Changed
+- Replace RoBERTa-based models with DeBERTaV2-based models.
+- Support CUDA 11.7 by default instead of CUDA 10.2.
+
+### Fixed
+- Fix many minor bugs.
+
 ## [1.4.2] - 2023-02-22
 
 ### Fixed
@@ -106,7 +119,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Removed
 - Remove an unnecessary dependency, `fugashi`.
 
-[Unreleased]: https://github.com/ku-nlp/kwja/compare/v1.4.1...HEAD
+[Unreleased]: https://github.com/ku-nlp/kwja/compare/v2.0.0...HEAD
+[2.0.0]: https://github.com/ku-nlp/kwja/compare/v1.4.2...v2.0.0
+[1.4.2]: https://github.com/ku-nlp/kwja/compare/v1.4.1...v1.4.2
 [1.4.1]: https://github.com/ku-nlp/kwja/compare/v1.4.0...v1.4.1
 [1.4.0]: https://github.com/ku-nlp/kwja/compare/v1.3.0...v1.4.0
 [1.3.0]: https://github.com/ku-nlp/kwja/compare/v1.2.2...v1.3.0

CITATION.cff

@@ -16,6 +16,6 @@ authors:
     given-names: Daisuke
   - family-names: Kurohashi
     given-names: Sadao
-version: 1.0.0
+version: 2.0.0
 repository-code: "https://github.com/ku-nlp/kwja"
 date-released: 2022-09-28

README.md

@@ -26,7 +26,7 @@ KWJA performs many language analysis tasks, including:
 
 ## Requirements
 
-- Python: 3.8+
+- Python: 3.8, 3.9, 3.10
 - Dependencies: See [pyproject.toml](./pyproject.toml).
 
 ## Getting Started
@@ -78,13 +78,16 @@ Here are some other options for `kwja` command:
 
 `--typo-batch-size`: Batch size for typo module.
 
+`--seq2seq-batch-size`: Batch size for seq2seq module.
+
 `--char-batch-size`: Batch size for char module.
 
 `--word-batch-size`: Batch size for word module.
 
 `--tasks`: Tasks to be performed. Please specify 'typo', 'char', 'typo,char', 'char,word', 'typo,char,word', 'char,word,word_discourse' or 'typo,char,word,word_discourse'.
   - `typo`: Typo correction
-  - `char`: Tokenization and Word normalization
+  - `seq2seq`: Word segmentation, Word normalization, Reading prediction, lemmatization, and Canonicalization.
+  - `char`: Word segmentation and Word normalization
   - `word`: Morphological analysis, Named entity recognition, Word feature tagging, Dependency parsing, PAS analysis, Bridging reference resolution, and Coreference resolution
   - `word_discourse`: Discourse relation analysis
     - If you need the results of discourse relation analysis, please specify this in addition to `word`.
@@ -136,6 +139,16 @@ analyzed_document = kwja.apply(
 }
 ```
 
+```bibtex
+@InProceedings{児玉2023,
+  author    = {児玉 貴志 and 植田 暢大 and 大村 和正 and 清丸 寛一 and 村脇 有吾 and 河原 大輔 and 黒橋 禎夫},
+  title     = {テキスト生成モデルによる日本語形態素解析},
+  booktitle = {言語処理学会 第29回年次大会},
+  year      = {2023},
+  address   = {沖縄},
+}
+```
+
 ## Reference
 
 - [KNP format](http://cr.fvcrc.i.nagoya-u.ac.jp/~sasano/knp/format.html)